Bachelor's degree or equivalent practical experience.
3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
Experience with managing Kubernetes deployment.
Experience working with customers on public cloud.
Experience working with early stage hardware platforms.
Experience running industry standard AI/ML workloads (e.g., NeMo Megatron, MLPerf, LLaMa 2), or similar.
Preferred qualifications:
Master's degree or PhD in Computer Science, or a related technical field.
3 years of experience working in a complex, matrixed organization.
Experience in working under tight deadlines and prioritizing work to meet business goals.
Experience in managing customer reported issues.
Experience with Google Kubernetes Engine (GKE) or Slurm.